Anyone can write a blog post and submit it for review. Case studies require extensive review before they're approved. The Kubernetes Blog The Kubernetes blog is used by the project to communicate new features, community reports, and any news that might be relevant to the Kubernetes community. This includes end users and developers. Most of the blog's content is about things happening in the core project, but we encourage you to submit about things happening elsewhere in the ecosystem too!

As with any program, you might run into an error installing or running kubeadm. This page lists some common failure scenarios and have provided steps that can help you understand and fix the problem. If your problem is not listed below, please follow the following steps: If you think your problem is a bug with kubeadm: Go to github.com/kubernetes/kubeadm and search for existing issues. If no issue exists, please open one and follow the issue template.

The kubectl command-line tool supports several different ways to create and manage Kubernetes objects. This document provides an overview of the different approaches. Read the Kubectl book for details of managing objects by Kubectl. Management techniques Warning:A Kubernetes object should be managed using only one technique. Mixing and matching techniques for the same object results in undefined behavior. Management technique Operates on Recommended environment Supported writers Learning curve Imperative commands Live objects Development projects 1+ Lowest Imperative object configuration Individual files Production projects 1 Moderate Declarative object configuration Directories of files Production projects 1+ Highest Imperative commands When using imperative commands, a user operates directly on live objects in a cluster.

FEATURE STATE: Kubernetes v1.28 [alpha] (enabled by default: false) Kubernetes 1.32 includes an alpha feature that lets an API Server proxy a resource requests to other peer API servers. This is useful when there are multiple API servers running different versions of Kubernetes in one cluster (for example, during a long-lived rollout to a new release of Kubernetes). This enables cluster administrators to configure highly available clusters that can be upgraded more safely, by directing resource requests (made during the upgrade) to the correct kube-apiserver.

Production-Grade Container Orchestration

This page covers how to customize the components that kubeadm deploys. For control plane components you can use flags in the ClusterConfiguration structure or patches per-node. For the kubelet and kube-proxy you can use KubeletConfiguration and KubeProxyConfiguration, accordingly. All of these options are possible via the kubeadm configuration API. For more details on each field in the configuration you can navigate to our API reference pages. Note:Customizing the CoreDNS deployment of kubeadm is currently not supported.

An overview of the key components that make up a Kubernetes cluster.

This page explains two different approaches to setting up a highly available Kubernetes cluster using kubeadm: With stacked control plane nodes. This approach requires less infrastructure. The etcd members and control plane nodes are co-located. With an external etcd cluster. This approach requires more infrastructure. The control plane nodes and etcd members are separated. Before proceeding, you should carefully consider which approach best meets the needs of your applications and environment.

Kubernetes is designed with self-healing capabilities that help maintain the health and availability of workloads. It automatically replaces failed containers, reschedules workloads when nodes become unavailable, and ensures that the desired state of the system is maintained. Self-Healing capabilities Container-level restarts: If a container inside a Pod fails, Kubernetes restarts it based on the restartPolicy. Replica replacement: If a Pod in a Deployment or StatefulSet fails, Kubernetes creates a replacement Pod to maintain the specified number of replicas.

Define a range of valid CPU resource limits for a namespace, so that every new Pod in that namespace falls within the range you configure.